Yan-Bin Jia

61 total papers · 791 total citations
50 papers, 575 citations indexed

About

Yan-Bin Jia is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yan-Bin Jia has authored 50 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Control and Systems Engineering, 31 papers in Biomedical Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yan-Bin Jia's work include Robot Manipulation and Learning (35 papers), Soft Robotics and Applications (24 papers) and Robotic Mechanisms and Dynamics (19 papers). Yan-Bin Jia is often cited by papers focused on Robot Manipulation and Learning (35 papers), Soft Robotics and Applications (24 papers) and Robotic Mechanisms and Dynamics (19 papers). Yan-Bin Jia collaborates with scholars based in United States and China. Yan-Bin Jia's co-authors include Michael Erdmann, Huan Lin, Caishan Liu, Daolin Ma, Feifei Wang, Matthew T. Mason, M. Erdmann, Feifei Wang, Ling Tang and Feifei Wang and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and International Journal of Mechanical Sciences.

In The Last Decade

Yan-Bin Jia

49 papers receiving 565 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yan-Bin Jia 420 293 98 96 72 50 575
Alba Pérez-Gracia 370 0.9× 274 0.9× 79 0.8× 57 0.6× 54 0.8× 48 605
Hegao Cai 255 0.6× 403 1.4× 95 1.0× 57 0.6× 153 2.1× 41 654
Jing Zhao 371 0.9× 247 0.8× 169 1.7× 91 0.9× 31 0.4× 65 587
Keisuke Koyama 271 0.6× 277 0.9× 107 1.1× 75 0.8× 123 1.7× 57 571
Te Tang 323 0.8× 196 0.7× 66 0.7× 129 1.3× 23 0.3× 29 591
Hitoshi Maekawa 416 1.0× 444 1.5× 162 1.7× 60 0.6× 135 1.9× 55 698
J.R. Hewit 243 0.6× 257 0.9× 135 1.4× 34 0.4× 87 1.2× 41 590
Yongzhuo Gao 227 0.5× 240 0.8× 153 1.6× 101 1.1× 13 0.2× 59 591
Marvin H. Cheng 150 0.4× 227 0.8× 108 1.1× 85 0.9× 23 0.3× 67 647
Heinz Woern 127 0.3× 271 0.9× 135 1.4× 77 0.8× 91 1.3× 68 547

Countries citing papers authored by Yan-Bin Jia

Since Specialization
Citations

This map shows the geographic impact of Yan-Bin Jia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yan-Bin Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan-Bin Jia more than expected).

Fields of papers citing papers by Yan-Bin Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan-Bin Jia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yan-Bin Jia. The network helps show where Yan-Bin Jia may publish in the future.

Co-authorship network of co-authors of Yan-Bin Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Yan-Bin Jia. A scholar is included among the top collaborators of Yan-Bin Jia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yan-Bin Jia. Yan-Bin Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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